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Found 6 papers, 1 papers with code
Inequality of Opportunity and Income Redistribution
We examine how people redistribute income when there is uncertainty about the role luck plays in determining opportunities and outcomes.
Creation and Validation of a Chest X-Ray Dataset with Eye-tracking and Report Dictation for AI Development
We report deep learning experiments that utilize the attention maps produced by eye gaze dataset to show the potential utility of this data.
Looking in the Right place for Anomalies: Explainable AI through Automatic Location Learning
Deep learning has now become the de facto approach to the recognition of anomalies in medical imaging.
Towards Visual Dialog for Radiology
Using MIMIC-CXR, an openly available database of chest X-ray images, we construct both a synthetic and a real-world dataset and provide baseline scores achieved by state-of-the-art models.
Identifying disease-free chest X-ray images with deep transfer learning
In this work, we report a deep neural network trained for classifying CXRs with the goal of identifying a large number of normal (disease-free) images without risking the discharge of sick patients.
Classification of radiology reports by modality and anatomy: A comparative study
Data labeling is currently a time-consuming task that often requires expert knowledge.
